Matrix Mathematics - A Second Course in Linear Algebra (Hardcover, 2nd Revised edition)

Using a modern matrix-based approach, this rigorous second course in linear algebra helps upper-level undergraduates in mathematics, data science, and the physical sciences transition from basic theory to advanced topics and applications. Its clarity of exposition together with many illustrations, 900+ exercises, and 350 conceptual and numerical examples aid the student's understanding. Concise chapters promote a focused progression through essential ideas. Topics are derived and discussed in detail, including the singular value decomposition, Jordan canonical form, spectral theorem, QR factorization, normal matrices, Hermitian matrices, and positive definite matrices. Each chapter ends with a bullet list summarizing important concepts. New to this edition are chapters on matrix norms and positive matrices, many new sections on topics including interpolation and LU factorization, 300+ more problems, many new examples, and color-enhanced figures. Prerequisites include a first course in linear algebra and basic calculus sequence. Instructor's resources are available.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Cambridge Mathematical Textbooks
Release date:	May 2023
Authors:	Stephan Ramon Garcia • Roger A. Horn
Format:	Hardcover
Pages:	500
Edition:	2nd Revised edition
ISBN-13:	978-1-108-83710-1
Categories:	Books > Science & Mathematics > Mathematics > Algebra > General
LSN:	1-108-83710-7
Barcode:	9781108837101

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